The nuclear spin-echo signals under combined action of magnetic field and RF pulses

1998 ◽  
Vol 15 (3-4) ◽  
pp. 393-399 ◽  
Author(s):  
A. M. Akhalkatsi ◽  
G. I. Mamniashvili ◽  
T. I. Sanadze
Keyword(s):  
Magnetic Field ◽  
Nuclear Spin ◽  
Spin Echo ◽  
Rf Pulses ◽  
Combined Action

The effect of a pulsed magnetic field on the nuclear spin echo signal in ferrite

2012 ◽  
Vol 38 (9) ◽  
pp. 853-855 ◽  
Author(s):  
I. V. Pleshakov ◽  
N. S. Klekhta ◽  
Yu. I. Kuz’min
Keyword(s):  
Magnetic Field ◽  
Nuclear Spin ◽  
Spin Echo ◽  
Pulsed Magnetic Field ◽  
Echo Signal

Features of influence of dc magnetic field pulses on a nuclear spin echo in magnets

2012 ◽  
Vol 38 (6) ◽  
pp. 466-472 ◽  
Author(s):  
G. I. Mamniashvili ◽  
T. O. Gegechkori ◽  
A. M. Akhalkatsi ◽  
C. A. Gavasheli
Keyword(s):  
Magnetic Field ◽  
Nuclear Spin ◽  
Spin Echo ◽  
Dc Magnetic Field

New Nuclear-Spin-Induced Cotton-Mouton Effect in Fluids at High DC Magnetic Field

ChemPhysChem ◽  
2012 ◽  
Vol 13 (5) ◽  
pp. 1325-1331 ◽  
Author(s):  
Guo-hua Yao ◽  
Ming He ◽  
Dong-ming Chen ◽  
Tian-jing He ◽  
Fan-chen Liu
Keyword(s):  
Magnetic Field ◽  
Nuclear Spin ◽  
Dc Magnetic Field

Magnetic field dependence of fluorine-19 nuclear spin polarization. The system tetrafluorobenzoquinone-tetrafluorohydroquinone

1982 ◽  
Vol 104 (22) ◽  
pp. 5878-5883 ◽  
Author(s):  
Richard S. Hutton ◽  
Heinz D. Roth ◽  
Marcia L. Manion Schilling ◽  
Anthony M. Trozzolo ◽  
Thomas M. Leslie
Keyword(s):  
Magnetic Field ◽  
Spin Polarization ◽  
Field Dependence ◽  
Nuclear Spin ◽  
Magnetic Field Dependence ◽  
Nuclear Spin Polarization

scholarly journals Применение искусственной нейронной сети в экспериментах по ядерному спиновому эху

2019 ◽  
Vol 45 (12) ◽  
pp. 16
Author(s):  
С.Н. Полулях ◽  
А.И. Горбованов
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Nuclear Spin ◽  
Spin Echo ◽  
Gaussian Form ◽  
The Neural Network ◽  
Network Application ◽  
Artificial Neural

The possibility of artificial neural network application to detect nuclear spin echo signals under conditions when the echo amplitude is comparable to the amplitude of the noise is demonstrated. Data obtained by superimposing the model echo signals of a Gaussian form on experimentally recorded noise signals is proposed to use for training the neural network.

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